Literature DB >> 29445851

Beta cell extracellular vesicle miR-21-5p cargo is increased in response to inflammatory cytokines and serves as a biomarker of type 1 diabetes.

Alexander J Lakhter1,2,3, Rachel E Pratt1,2,3, Rachel E Moore1,2,3, Kaitlin K Doucette1,2,3, Bernhard F Maier1,2, Linda A DiMeglio1,2,3, Emily K Sims4,5,6.   

Abstract

AIMS/HYPOTHESIS: Improved biomarkers are acutely needed for the detection of developing type 1 diabetes, prior to critical loss of beta cell mass. We previously demonstrated that elevated beta cell microRNA 21-5p (miR-21-5p) in rodent and human models of type 1 diabetes increased beta cell apoptosis. We hypothesised that the inflammatory milieu of developing diabetes may also increase miR-21-5p in beta cell extracellular vesicle (EV) cargo and that circulating EV miR-21-5p would be increased during type 1 diabetes development.
METHODS: MIN6 and EndoC-βH1 beta cell lines and human islets were treated with IL-1β, IFN-γ and TNF-α to mimic the inflammatory milieu of early type 1 diabetes. Serum was collected weekly from 8-week-old female NOD mice until diabetes onset. Sera from a cross-section of 19 children at the time of type 1 diabetes diagnosis and 16 healthy children were also analysed. EVs were isolated from cell culture media or serum using sequential ultracentrifugation or ExoQuick precipitation and EV miRNAs were assayed.
RESULTS: Cytokine treatment in beta cell lines and human islets resulted in a 1.5- to threefold increase in miR-21-5p. However, corresponding EVs were further enriched for this miRNA, with a three- to sixfold EV miR-21-5p increase in response to cytokine treatment. This difference was only partially reduced by pre-treatment of beta cells with Z-VAD-FMK to inhibit cytokine-induced caspase activity. Nanoparticle tracking analysis showed cytokines to have no effect on the number of EVs, implicating specific changes within EV cargo as being responsible for the increase in beta cell EV miR-21-5p. Sequential ultracentrifugation to separate EVs by size suggested that this effect was mostly due to cytokine-induced increases in exosome miR-21-5p. Longitudinal serum collections from NOD mice showed that EVs displayed progressive increases in miR-21-5p beginning 3 weeks prior to diabetes onset. To validate the relevance to human diabetes, we assayed serum from children with new-onset type 1 diabetes compared with healthy children. While total serum miR-21-5p and total serum EVs were reduced in diabetic participants, serum EV miR-21-5p was increased threefold compared with non-diabetic individuals. By contrast, both serum and EV miR-375-5p were increased in parallel among diabetic participants. CONCLUSIONS/
INTERPRETATION: We propose that circulating EV miR-21-5p may be a promising marker of developing type 1 diabetes. Additionally, our findings highlight that, for certain miRNAs, total circulating miRNA levels are distinct from circulating EV miRNA content.

Entities:  

Keywords:  Beta cell signal transduction; Cell lines; Human; Prediction and prevention of type 1 diabetes

Mesh:

Substances:

Year:  2018        PMID: 29445851      PMCID: PMC5878132          DOI: 10.1007/s00125-018-4559-5

Source DB:  PubMed          Journal:  Diabetologia        ISSN: 0012-186X            Impact factor:   10.122


  46 in total

1.  Proteomic comparison defines novel markers to characterize heterogeneous populations of extracellular vesicle subtypes.

Authors:  Joanna Kowal; Guillaume Arras; Marina Colombo; Mabel Jouve; Jakob Paul Morath; Bjarke Primdal-Bengtson; Florent Dingli; Damarys Loew; Mercedes Tkach; Clotilde Théry
Journal:  Proc Natl Acad Sci U S A       Date:  2016-02-08       Impact factor: 11.205

2.  Tissue-specific exosome biomarkers for noninvasively monitoring immunologic rejection of transplanted tissue.

Authors:  Prashanth Vallabhajosyula; Laxminarayana Korutla; Andreas Habertheuer; Ming Yu; Susan Rostami; Chao-Xing Yuan; Sanjana Reddy; Chengyang Liu; Varun Korutla; Brigitte Koeberlein; Jennifer Trofe-Clark; Michael R Rickels; Ali Naji
Journal:  J Clin Invest       Date:  2017-03-20       Impact factor: 14.808

3.  Insulinoma-released exosomes or microparticles are immunostimulatory and can activate autoreactive T cells spontaneously developed in nonobese diabetic mice.

Authors:  Huiming Sheng; Saleema Hassanali; Courtney Nugent; Li Wen; Emma Hamilton-Williams; Peter Dias; Yang D Dai
Journal:  J Immunol       Date:  2011-07-06       Impact factor: 5.422

4.  A Regulatory T-Cell Gene Signature Is a Specific and Sensitive Biomarker to Identify Children With New-Onset Type 1 Diabetes.

Authors:  Anne M Pesenacker; Adele Y Wang; Amrit Singh; Jana Gillies; Youngwoong Kim; Ciriaco A Piccirillo; Duc Nguyen; W Nicholas Haining; Scott J Tebbutt; Constadina Panagiotopoulos; Megan K Levings
Journal:  Diabetes       Date:  2016-01-19       Impact factor: 9.461

5.  Profiling of circulating microRNAs in children with recent onset of type 1 diabetes.

Authors:  Suheda Erener; Ashish Marwaha; Rusung Tan; Constadina Panagiotopoulos; Timothy J Kieffer
Journal:  JCI Insight       Date:  2017-02-23

6.  Development of a conditionally immortalized human pancreatic β cell line.

Authors:  Raphaël Scharfmann; Severine Pechberty; Yasmine Hazhouz; Manon von Bülow; Emilie Bricout-Neveu; Maud Grenier-Godard; Fanny Guez; Latif Rachdi; Matthias Lohmann; Paul Czernichow; Philippe Ravassard
Journal:  J Clin Invest       Date:  2014-03-25       Impact factor: 14.808

7.  Changes in microRNA expression contribute to pancreatic β-cell dysfunction in prediabetic NOD mice.

Authors:  Elodie Roggli; Sonia Gattesco; Dorothée Caille; Claire Briet; Christian Boitard; Paolo Meda; Romano Regazzi
Journal:  Diabetes       Date:  2012-04-26       Impact factor: 9.461

8.  Pancreas-enriched miRNAs are altered in the circulation of subjects with diabetes: a pilot cross-sectional study.

Authors:  Attila A Seyhan; Yury O Nunez Lopez; Hui Xie; Fanchao Yi; Clayton Mathews; Magdalena Pasarica; Richard E Pratley
Journal:  Sci Rep       Date:  2016-08-25       Impact factor: 4.379

9.  Involvement of microRNAs in the cytotoxic effects exerted by proinflammatory cytokines on pancreatic beta-cells.

Authors:  Elodie Roggli; Aurore Britan; Sonia Gattesco; Nathalie Lin-Marq; Amar Abderrahmani; Paolo Meda; Romano Regazzi
Journal:  Diabetes       Date:  2010-01-19       Impact factor: 9.461

10.  Plasma-derived exosome characterization reveals a distinct microRNA signature in long duration Type 1 diabetes.

Authors:  Marta Garcia-Contreras; Sanket H Shah; Alejandro Tamayo; Paul D Robbins; Ronald B Golberg; Armando J Mendez; Camillo Ricordi
Journal:  Sci Rep       Date:  2017-07-20       Impact factor: 4.379

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  46 in total

1.  The role of proteomics in assessing beta-cell dysfunction and death in type 1 diabetes.

Authors:  Ernesto S Nakayasu; Wei-Jun Qian; Carmella Evans-Molina; Raghavendra G Mirmira; Decio L Eizirik; Thomas O Metz
Journal:  Expert Rev Proteomics       Date:  2019-06-24       Impact factor: 3.940

Review 2.  Extracellular Vesicles in Type 1 Diabetes: Messengers and Regulators.

Authors:  Sarita Negi; Alissa K Rutman; Steven Paraskevas
Journal:  Curr Diab Rep       Date:  2019-07-31       Impact factor: 4.810

Review 3.  Immune Mechanisms and Pathways Targeted in Type 1 Diabetes.

Authors:  Laura M Jacobsen; Brittney N Newby; Daniel J Perry; Amanda L Posgai; Michael J Haller; Todd M Brusko
Journal:  Curr Diab Rep       Date:  2018-08-30       Impact factor: 4.810

Review 4.  Biomarkers of islet beta cell stress and death in type 1 diabetes.

Authors:  Emily K Sims; Carmella Evans-Molina; Sarah A Tersey; Decio L Eizirik; Raghavendra G Mirmira
Journal:  Diabetologia       Date:  2018-08-15       Impact factor: 10.122

5.  MiR-616-3p modulates cell proliferation and migration through targeting tissue factor pathway inhibitor 2 in preeclampsia.

Authors:  Yetao Xu; Dan Wu; Ziyan Jiang; Yuanyuan Zhang; Sailan Wang; Zhonghua Ma; Bingqing Hui; Jing Wang; Weiping Qian; Zhiping Ge; Lizhou Sun
Journal:  Cell Prolif       Date:  2018-07-20       Impact factor: 6.831

Review 6.  Serum biomarkers for diagnosis and prediction of type 1 diabetes.

Authors:  Lian Yi; Adam C Swensen; Wei-Jun Qian
Journal:  Transl Res       Date:  2018-08-01       Impact factor: 7.012

7.  mi-IsoNet: systems-scale microRNA landscape reveals rampant isoform-mediated gain of target interaction diversity and signaling specificity.

Authors:  Li Guo; Yongsheng Li; Kara M Cirillo; Robert A Marick; Zhe Su; Xing Yin; Xu Hua; Gordon B Mills; Nidhi Sahni; S Stephen Yi
Journal:  Brief Bioinform       Date:  2021-09-02       Impact factor: 11.622

8.  MicroRNA 21 Elicits a Pro-inflammatory Response in Macrophages, with Exosomes Functioning as Delivery Vehicles.

Authors:  Radha Madhyastha; Harishkumar Madhyastha; Queen Intan Nurrahmah; Bethasiwi Purbasari; Masugi Maruyama; Yuichi Nakajima
Journal:  Inflammation       Date:  2021-01-26       Impact factor: 4.092

9.  Baseline Assessment of Circulating MicroRNAs Near Diagnosis of Type 1 Diabetes Predicts Future Stimulated Insulin Secretion.

Authors:  Isaac Snowhite; Ricardo Pastori; Jay Sosenko; Shari Messinger Cayetano; Alberto Pugliese
Journal:  Diabetes       Date:  2020-12-04       Impact factor: 9.461

Review 10.  Extracellular vesicles-incorporated microRNA signature as biomarker and diagnosis of prediabetes state and its complications.

Authors:  Nicoleta Alexandru; Anastasia Procopciuc; Alexandra Vîlcu; Ioana Karla Comariţa; Elisabeta Bӑdilӑ; Adriana Georgescu
Journal:  Rev Endocr Metab Disord       Date:  2021-06-18       Impact factor: 6.514

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